Monthly Archives: April 2013

(Excerpt from original post on the Taneja Group News Blog)

Many companies, startups and regular enterprises, have relied on MySQL over the years as a low cost (open source or supported versions) yet highly reliable relational database. Yet in these days of growing data sets, many development projects now start with NoSQL (or newSQL) variants in mind. These alternative databases tend to trade-off ACID transactions and SQL “join” query ability in exchange for greater performance and availability at scales where traditional SQL db engines bog down or collapse. Unfortunately, there are a lot of experienced devs/DBAs and existing apps based and built on MySQL and it’s not so easy to rip and replace.

Tokutek is one of the companies with technology that accelerates and extends MySQL by replacing its default “engine” with a supercharged version. But to implement TokuDB til now, you might have also had to compare the cost of implementing their special proprietary engine with paying up for Oracle or DB2 or migrating to something less SQL-ish.

But now Tokutek has just done something quietly significant that could impact anyone with a MySQL app – they’ve gone and open sourced the latest version TokuDB v7 for MySQL (and MariaDB). Anybody can now take advantage of their “fractal-tree” indexing that enables MySQL to scale to TB’s (instead of maybe 500GB) of data with 10x index and insertion performance (and lots of other benefits). It just drops into MySQL as a transparent replacement for the default InnoDB engine.

(Excerpt from original post on the Taneja Group News Blog)

Exablox announced their OneBlox storage system today which is sure to grab the attention of any non-storage expert who has ever struggled with more than one drive. What they’ve basically done with OneBlox is implemented an enterprise featured CIFS/SMB file system on top of an embedded object storage platform. It’s dead simple to use with data protection, DR, and capacity optimization integral to its highly affordable 8 drive-bay nodes. With this design, OneBlox is aimed at SME markets and larger enterprise departmental scenarios.

An IT industry analyst article published by Infostor.

By Mike Matchett, Sr. Analyst and Consultant,With the advent of big data and cloud-scale delivery, companies are racing to deploy cutting-edge services. “Extreme” applications like massive voice and image processing or complex financial analysis modeling that can push storage systems to their limits. Examples of some high visibility solutions include large-scale image pattern recognition applications and financial risk management based on high-speed decision-making.

These ground-breaking solutions, made up of very different activities but with similar data storage challenges, create incredible new lines of business representing significant revenue potential.

Every day we see more and more mainstream enterprises exploring similar “extreme service” opportunities. But when enterprise IT data centers take stock of what it is required to host and deliver these new services, it quickly becomes apparent that traditional clustered and even scale-out file systems—the kind that most enterprise data centers (or cloud providers) have racks and racks of—simply can’t handle the performance requirements.

There are already great enterprise storage solutions for applications that need either raw throughput, high capacity, parallel access, low latency or high availability—maybe even for two or three of those at a time. But when an “extreme” application needs all of those requirements at the same time, only supercomputing type storage in the form of parallel file systems provides a functional solution.

The problem is that most commercial enterprises simply can’t afford or risk basing a line of business on an expensive research project.

The good news is that some storage vendors have been industrializing former supercomputing storage technologies, hardening massively parallel file systems into commercially viable solutions. This opens the door for revolutionary services creation, enabling mainstream enterprise data centers to support the exploitation of new extreme applications.

(Excerpt from original post on the Taneja Group News Blog)

There are a lot of HPC technologies coming soon to a data center near you! The latest offering from ScaleOut Software, known for their in-memory data grid solutions, is a customized in-memory data grid for Hadoop. This enables a blistering fast big data style real-time analysis of dynamically changing data. Solutions that use this are processing live operational data into actionable intelligence – financials, reservation systems, live customer experience, etc.

RT @TruthinIT: There's no cost of goods like a traditional NAS device where I've got disks I've got to pay for. And if I'm not using the data on those disks, I still got to pay for those disks. bit.ly/2BBX073@Nasuni@smworldbigdata

In 30 min I'm interviewing @Cohesity (and customer) on @TruthinIT about Mass Data Fragmentation. It's about having too many copies in about four or five different "dimensions", including cloud! Join us webcast (12.11.18) @ 1pmET (and there will be prizes) bit.ly/2PdqrQn